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30-days-of-python

30 days of Python programming challenge is a step-by-step guide to learn the Python programming language in 30 days. This challenge may take more than100 days, follow your own pace. These videos may help too: https://www.youtube.com/channel/UC7PNRuno1rzYPb1xLa4yktw

cern_gui_instruments_data_analysis

cfdpython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

computational-fluid-dynamics-machine-learning-examples

This repo contains some tutorial type programs showing some basic ways machine learning can be applied to CFD.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

fem-with-python

Materials for introductory Finite Element course

intel-extensions-for-scikit-learn-essentials-for-machine-learning

introduction_to_ml_with_python

Notebooks and code for the book "Introduction to Machine Learning with Python"

nuclear_codelist

A curated list of open source projects used in nuclear science and engineering

predicting_stock_prices

This is the coding challenge for "Predicting Stock Prices" by @Sirajology on Youtube

py

Repository to store sample python programs for python learning

pybroker

Algorithmic Trading in Python with Machine Learning

pypact

A Python package for parsing FISPACT-II output

python-for-absolute-beginners-course

Code samples and other handouts for our course.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorchzerotoall

Simple PyTorch Tutorials Zero to ALL!

shadowscript

A programming language made for fun

tutorial_matplotlibcustomplots

A tutorial on making custom plotting functions on matplotlib